Applications Development Analyst - Assistant Vice President

Assistant Vice President (AVP) of Software Engineering We are seeking an AVP of Software Engineering who combines deep technical knowledge with hands‑on expertise. The role focuses on building scalable software at scale using cloud‑native architecture, data engineering best practices, and modern UI development with React, while driving Generative AI adoption for business use cases within a SAFe Agile operating model. Key Responsibilities Contribute to the architecture of scalable, high‑performing systems using cloud‑native architecture and proven design patterns. Lead the adoption of Generative AI across product lines, leveraging Python, LLMs, and Agentic platforms such as Google’s Vertex AI and ADK. Drive foundational framework development across middleware and UI to accelerate development and reduce maintenance overhead. Lead data engineering efforts, including: Data modeling Data pipelines (ETL/ELT) Batch and streaming data processing Data governance (catalog/lineage) and quality engines Big data technologies Adopt AI‑driven automation to accelerate SDLC and deliver business value. Actively contribute to product requirements analysis and solution architecture. Work on proof‑of‑concepts, design, development of critical components, and conduct code reviews. Implement foundational components across Java, Python, and React for enterprise‑grade applications. Champion AI‑based code generation tools to automate repetitive engineering tasks. Collaborate with DevOps teams to optimize CI/CD pipelines, containerization (Docker/Kubernetes), and observability. Required Skills & Experience 5+ years in software engineering with hands‑on experience. Proven experience implementing business use cases in Generative AI technologies (LLMs, prompt engineering, AI integration patterns, Agentic AI). Proven experience in cloud‑native architecture and public cloud platforms (AWS, Azure, GCP). Strong expertise in microservices, RESTful APIs, and event‑driven architectures. Hands‑on experience with React, TypeScript, and modern front‑end frameworks. Deep experience in data engineering, including pipelines (ETL/ELT), data storage (warehouses, lakes), batch/stream processing, data modeling, governance, and big data technologies. Clear understanding of SAFe Agile framework and enterprise‑scale agile delivery. Knowledge of DevOps, CI/CD, container orchestration, and observability tools. Experience in large‑scale financial services enterprise environments. Excellent communication, stakeholder management, and executive reporting skills. Preferred Qualifications Experience with financial risk and data. Certifications in Cloud Architecture (AWS/Azure/GCP) and SAFe Agile. Certification in AI/ML technologies such as Google ADK. Education Bachelor’s degree/University degree or equivalent experience. Compensation: $121,200.00 – $181,800.00 per year, plus potential discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including medical, dental & vision coverage; 401(k); life, accident and disability insurance; wellness programs; paid time off (vacation, sick leave, holidays); and additional benefits that may vary by jurisdiction and hire date. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. For individuals with a disability who need reasonable accommodation to use our search tools or apply, please contact the recruiter. #J-18808-Ljbffr Citi